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BISINDO Hand-Sign Detection Using Transfer Learning

This repository contains datasets related to our paper BISINDO Hand-Sign Detection Using Transfer Learning.

Data Collection: BISINDO Hand Sign

The dataset consists of 20 photos for each character (i.e., A-Z). All the photos were taken using smartphone camera (i.e., Redmi Note 10 Pro) and processed using Python OpenCV. The same setting parameter are applied to all the photos (e.g, light intensity, and distance). The total number of photos in the dataset is 520 photos.

Data Labeling

All photos are labelled using a Python package called labelImg. Each photo have a label in the form of an XML file that contains information, such as photo’s directory, name, size, label, box coordinates, etc. The XML structure is shown below.

<?xml version="1.0" encoding="utf-8"?>
<annotation>
	<folder>allimages</folder>
	<filename>file-name.jpg</filename>
	<path>folder-path\file-name.jpg</path>
	<source>
		<database>Unknown</database>
	</source>
	<size>
		<width>640</width>
		<height>480</height>
		<depth>3</depth>
	</size>
	<segmented>0</segmented>
	<object>
		<name>A</name>
		<pose>Unspecified</pose>
		<truncated>0</truncated>
		<difficult>0</difficult>
		<bndbox>
			<xmin>186</xmin>
			<ymin>214</ymin>
			<xmax>460</xmax>
			<ymax>344</ymax>
		</bndbox>
	</object>
</annotation>

Data Processing

The images are in the collected images folder. The dataset is separated into two groups, training and testing, with a ratio of 4:1.

Citation

If you use this dataset in a scientific publication, we would appreciate using the following citations:

Plain Text

D. Joan, V. Vincent, K. J. Daniel, S. Achmad and R. Sutoyo, "BISINDO Hand-Sign Detection Using Transfer Learning," 2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE), Kuala Lumpur, Malaysia, 2023, pp. 1-7, doi: 10.1109/ICRAIE59459.2023.10468194.

BibTeX

@INPROCEEDINGS{10468194,
  author={Joan, David and Vincent, Vincent and Daniel, Kevin Jason and Achmad, Said and Sutoyo, Rhio},
  booktitle={2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)}, 
  title={BISINDO Hand-Sign Detection Using Transfer Learning}, 
  year={2023},
  volume={},
  number={},
  pages={1-7},
  keywords={Sign language;Computer vision;Technological innovation;Computational modeling;Transfer learning;Refining;Assistive technologies;Hand Sign Recognition;Computer Vision;Object Detection;BISINDO;Transfer Learning},
  doi={10.1109/ICRAIE59459.2023.10468194}}